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Tripa IGRSS 2007.indd - congress.cimne.com - UPC

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IEEE International Geoscience and Remote Sensing Symposium - IGARSS Barcelona 2007<br />

Thursday Afternoon<br />

Thursday Afternoon (14:20 - 18:00)<br />

Room: 133<br />

Th11AF. Hyperspectral Image Analysis<br />

Co-Chairs: Maria Petrou , Lori Mann Bruce<br />

14:20 Anomaly Detection in Hyperspectral Data Using Spectral<br />

Unmixing with Negative and Superunity Abundance Weights<br />

Olga Duran, Maria Petrou<br />

14:40 Hyperspectral Unmixing Algorithm Via Dependent<br />

Component Analysis<br />

Jose M. P. Nascimento, Jose M. Bioucas-Dias<br />

15:00 Joint Linear/Nonlinear Spectral Unmixing of Hyperspectral<br />

Image Data<br />

Javier Plaza, Antonio Plaza, Rosa Pérez, Pablo Martínez<br />

15:20 Kernel Fully Constrained Least Squares Abundance Estimates<br />

Joshua Broadwater, Ramalingam Chellappa, Amit Banerjee, Philippe Burlina<br />

15:40 Sparsity Promoting Iterated Constrained Endmember<br />

Detection with Integrated Band Selection<br />

Alina Zare, Paul D. Gader<br />

16:00 COFFEE BREAK<br />

16:20 Limitations of Subspace LDA in Hyperspectral Target<br />

Recognition Applications<br />

Saurabh Prasad, Lori M. Bruce<br />

16:40 A Comparison of Approaches for Hyperspectral Image<br />

Segmentation: N-FINDR, ICA, and NNMF<br />

Michael E. Winter, Edwin M. Winter<br />

17:00 Level Set Hyperspectral Image Segmentation Using Spectral<br />

Information Divergence-Based Best Band Selection<br />

John E. Ball, Terrance R. West, Saurabh Prasad, Lori M. Bruce<br />

17:20 On-Line Hyperspectral Image Segmentation Based On<br />

Textural-Spectral Feature Fusion<br />

Hassan Ghassemian, David Landgrebe<br />

17:40 Physically-Based Retrievals of Norway Spruce Canopy<br />

Variables from very High Spatial Resolution Hyperspectral Data<br />

Zbynek Malenovsky, Lucie Homolova, Pavel Cudlin, Raul Zurita-Milla,<br />

Michael E. Schaepman, Jan G.P.W. Clevers, Emmanuel Martin, Jean-Philippe<br />

Gastellu-Etchegorry<br />

176<br />

Thursday

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